Energy-Efficient Resource Allocation and Power Control for Downlink Multi-Cell OFDMA Networks

Gao, Xiaozheng; Yang, Kai; Wu, Jinsong; Zhang, Yihao; An, Jianping

doi:10.1109/glocom.2017.8254199

Cited by 9 publications

(3 citation statements)

References 15 publications

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“…Relevant work regarding the power saving techniques in next-generation networks is found in [5]. From the wireless resource management perspective, resource allocation aims at increasing the overall EE of the OFDMA system [9], [10] or the EE of individual users [11], [12], [13]. The authors in [11] address the drawbacks of increasing the overall system EE instead of improving the individual users' EE, concluding that fairness is a necessary metric for the EE problem.…”

Section: Related Workmentioning

confidence: 99%

“…While the aforementioned works [9] - [13] can be sufficient for scenarios only with connected users, they might not be optimal for scenarios with a portion of users in an RRC Inactive state. Although data transmission consumes the majority of the energy, the RRC Resume procedure, presenting the transition of the devices from inactive to connected state, increases the overall energy consumption of the device, which is the reason we consider it in this paper.…”

Section: Related Workmentioning

confidence: 99%

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Energy-Efficient and Radio Resource Control State Aware Resource Allocation with Fairness Guarantees

Jano

Ganesan

Mehmeti

et al. 2022

2022 20th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

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In the next-generation wireless networks, energy efficiency (EE) is a fundamental requirement due to the limited battery power and the deployment of various devices in hardly accessible areas. While a plethora of approaches have been proposed to increase users' EE, there are still many unresolved issues stemming mainly from the limited wireless resources. In this paper, we investigate the energy-efficient resource allocation, taking into account users' radio resource control (RRC) state. We aim to achieve max-min fairness among users in an uplink orthogonal frequency-division multiple access (OFDMA) system while fulfilling data rate requirements and transmit power constraints. In particular, we avoid waste of the energy through unnecessary state transitions when no network resources are available. We study the impact of the RRC Resume procedure on users' EE and propose allocating resources while users are in their current RRC Connected or RRC Inactive state. The solution is obtained from a constrained optimization problem, whose output is max-min fair and energy-efficient. To that end, we use generalized fractional programming and the Lagrangian dual decomposition approach to allocate the radio resources and transmission power iteratively. Using extensive realistic simulations with input parameters from measurement data, we compare the results of our approach against benchmark models and show the performance improvements RRC state awareness brings. Specifically, using our approach, the users' EE increases by at least 10% on average.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Energy-Efficient and Radio Resource Control State Aware Resource Allocation with Fairness Guarantees

Jano

Ganesan

Mehmeti

et al. 2022

2022 20th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

View full text Add to dashboard Cite

show abstract

“…Hamdoun et al 48 propose an optimization problem for spectrum sharing among human‐to‐human and machine‐to‐machine. Zhang et al and Gao et al 44,45 investigate user association and power control challenge with known channel distribution information using orthogonal frequency division multiple access in the DL in HetNets.…”

Section: Introductionmentioning

confidence: 99%

Resource allocation for energy efficiency optimization in uplink–downlink decoupled 5G heterogeneous networks

Khan

Ali

Rashid

et al. 2021

Int J Communication

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Summary Heterogeneous networks (HetNets) are a practical solution for traffic offloading from a high powered base station (HBS) to a low powered base station (LBS). In the HetNets, uplink (UL)–downlink (DL) decoupled access (UDDa) strategy is an optimal solution that ensures cell association, independently, in the UL and DL. This strategy offloads HBS cell edge mobile device (MD) to the nearby LBS in the UL. However, energy‐efficient cell association for traffic offloading from HBS to LBS, relay, or device to device (D2D) in the UL employing UDDa strategy has not been explored in the past work. We formulate mathematical models which ensure energy‐efficient cell association, power allocation, and traffic offloading employing traditional UL‐DL coupled access (UDCa) and UDDa strategies in the HetNets. The formulated problems are concave fractional programming (CFP) problems. The CFP is changed to a concave optimization problem using Charnes–Cooper transformation (CCT). The transformed problems are solved using an outer approximation algorithm to obtain ϵ=10−3 optimal solution. Simulation results show the effectiveness of UDDa strategy over UDCa strategy in terms of MDs association, traffic offloading in the UL and DL, interference mitigation in the UL, data rate, and energy efficiency in the HetNets.

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Energy-Efficient Base Station Association and Beamforming for Multi-Cell Multiuser Systems

Yang

Gao

et al. 2022

Sustainable Wireless Communications

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Energy-Efficient Resource Allocation and Power Control for Downlink Multi-Cell OFDMA Networks

Cited by 9 publications

References 15 publications

Energy-Efficient and Radio Resource Control State Aware Resource Allocation with Fairness Guarantees

Energy-Efficient and Radio Resource Control State Aware Resource Allocation with Fairness Guarantees

Resource allocation for energy efficiency optimization in uplink–downlink decoupled 5G heterogeneous networks

Energy-Efficient Base Station Association and Beamforming for Multi-Cell Multiuser Systems

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